Just Use Distributions: Eliminating The Noise of Sampling-Based Fitness Estimation

This paper uses distributional analysis to disentangle the effects of fitness landscape and stochasticity in Wagner's Gene Regulatory Network Based evolutionary scenario. Further advantages of the analysis include the ability to accurately identify global optima and potential extensions to approximate the distributional fitness more accurately than stochastic sampling at lower computational cost.